CN109791654A - For predicting method, the pre- measurement equipment of relevant participation and the user equipment of the participation level of the user of user equipment - Google Patents
For predicting method, the pre- measurement equipment of relevant participation and the user equipment of the participation level of the user of user equipment Download PDFInfo
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Abstract
The present invention relates to the methods of the participation level for predicting the user of user equipment, system and relevant device, the user equipment receives the content for presenting at the user equipment, the method comprise the steps that capturing at least one context of the user of the user equipment and capturing at least one context of the environment of the user of the user equipment, the level of user's participation is predicted by handling at least one of the context of the user of the user equipment captured and the context of environment of the user of the user equipment, and dispatched based on the level of user's participation to the received content processing.
Description
Technical field
The present invention relates to the content distribution fields in communication system, and in particular in the such communication of prediction in this way
Content distribution participation is horizontal and efficiency.
Background technique
Currently, short message (that is, chat or notice) becomes the example of future communication systems.The system as Whatsapp
Revolutionize interpersonal communication using short message example, and the application such as Facebook Messenger inciting somebody to action
Identical example expands to the communication of people and enterprise.With also known as IoT equipment internet of things equipment (for example, wearable device,
Environmental sensor) become more mainstream, it is contemplated that these equipment also using short message example come with end user device transmit message and/
Or data.
Although this short message example is user-friendly and welcome, but be terminal user and content supplier's band
Two urgent problems are carried out.
Firstly, user's available attention in one day is limited --- because people are busy with Working Life, family's life
Living, social life；They can only be at the application or IoT equipment at the particular moment (context) in one day from also referred to as app
Contact message (for example, notice).For example, user John may be easiest to received message after he gets home from office, and it is another
One user Mary may want to obtain message on the way to office in her morning.If the content from these app/ equipment is not suitable
When at the time of sent, then it may interfere the routine work of user, and possibly even ignored completely by user (this for
It is certainly undesirable for content supplier).
Second Problem is that when sending message (for example, notice) to user via cellular network every time, it can all cause
Cellular radio on UE is waken up, so as to cause battery consumption.With the increase of short message number, the burden of the battery life
To increase --- and this may cause user and unloads app or disable the short message from them, and the two provides service
It is all undesirable situation for quotient.
Therefore, currently without the means that can be used for those of the identity user most probable participation content moment --- to improve
The battery life of user experience, content acceptance and user equipment.
Currently, without it is available, can and correspondingly Scheduling content distribution with the participation of look-ahead user horizontal
Practical solution.
Summary of the invention
The purpose of the present invention is to provide a kind of for predicting method, the system of the participation level of the user of user equipment
And relevant device, but the disadvantages mentioned above or defect of known solution has wherein been mitigated or overcome.
Therefore, the embodiment of the present invention is related to a kind of for predicting the side of the participation level of the user of user equipment (UD)
Method, the user equipment (UD) receive the content for presenting at the user equipment (UD), wherein the method includes with
Lower step:
Capture at least one context of the user of the user equipment (UD)；And
Capture at least one context of the environment of the user of the user equipment (UD)；And
By the context and the user equipment that handle the user of the user equipment (UD) captured
(UD) at least one of described context of environment of the user predicts the level of user's participation；And
Dispatched based on the level of user's participation to the received content processing.
Another embodiment of the present invention is related to a kind of method for predicting participation level, wherein participating in the user
In the case that the level of degree is lower than threshold value, the processing to the received content of institute be storage the received content.
Another embodiment of the present invention is related to a kind of method for predicting participation level, wherein participating in the user
In the case that the level of degree is equal to or higher than threshold value, the processing the received content be the user in the user
The received content of institute is presented at equipment.
Another embodiment of the present invention is related to a kind of for predicting the ginseng of the participation level of the user of the user equipment
With the pre- measurement equipment of degree, the user equipment receives the content for presenting at the user equipment, wherein the participation is pre-
Measurement equipment further include:
User's context acquisition equipment, above and below at least one for being configured as capturing the user of the user equipment
Text；And
Environmental context acquisition equipment is configured as capturing at least the one of the environment of the user of the user equipment
A context；And
Participation prediction meanss are configured as described in the user by handling the user equipment captured
At least one of described context of environment of the user of context and the user equipment (UD) come predict user join
With the level of degree.
Another embodiment of the present invention is related to a kind of system for predicting the participation level of the user of user equipment, institute
Content of the user equipment reception for presenting at the user equipment is stated, wherein the system comprises:
The pre- measurement equipment of participation according to claim 4；And
Content distribution dispatching device is configured as received described to dispatch based on the level of user's participation
The content distribution of content.
Another embodiment of the present invention is related to a kind of for predicting the use of the participation level of the user of user equipment
Family equipment, the user equipment receives the content for presenting at the user equipment, wherein the user equipment further includes
The pre- measurement equipment of participation according to claim 4.
Another embodiment of the present invention is related to the user equipment according to claim 6, wherein the user equipment is also
Including content distribution dispatching device, content distribution dispatching device is configured as based on the level of user's participation to dispatch
The content distribution of the received content.
Another embodiment of the present invention is related to a kind of edge cloud node used in system according to claim 5, institute
It states edge cloud node and is coupled to the user equipment, wherein the edge cloud node includes content distribution dispatching device, content
Distribution scheduling device is configured as based on the content distribution of the level of user's participation received content to dispatch.
In this way, by capturing at least one context and in addition of the user of the user equipment first
At least one context for capturing the environment of the user of the user equipment, by handling the user equipment captured
The user the context and at least one of the context of environment of the user of the user equipment
It predicts the level of user's participation, and is then dispatched based on the level for the user's participation predicted to being received
The content processing.
At least one context of the user of the user equipment can include but is not limited to: equipment uses the time
Stamp, equipment using duration of session, various applications in equipment using duration, outflow or incoming call
Timestamp, the timestamp of received notice, the timestamp of the notice paid attention to, the sensing with timestamp from user equipment
Device data (it may include the reading of optical sensor, proximity sensor, microphone, accelerometer and the body movement of user).
The data captured can be stored in device context database.
In addition, at least one context of the environment of the user of the user equipment can include but is not limited to user
Position (indoor with outdoor), user's accurate or approximate indoor location between floors, the number near user.The information can
It is obtained with the location technology by any prior art, or is obtained by the database on the cell BTS near inquiring
It takes.The data captured can be stored in environmental context database.
Then, the context of the user of the user equipment captured by processing captured and the user
At least one of context of environment captured of the user of equipment predicts the level of user's participation.On user
Context data and environmental context data are passed to the participation prediction realized by the machine learning inference system trained in advance
Device EPM.Original device and environmental context data can be used in the machine learning inference system, or can calculate original
The derivative data (derivative) of data --- and then using predefined machine learning algorithm (for example, supporting vector
Machine, random forest, linear regression) Lai Shengcheng user's participation score or level.
It should be noted that the present invention is not limited to any specific machine learning systems.The machine learning system may include appointing
What classification or regression model, are instructed offline by using device context and environmental context data from a large number of users
Practice.For training, " original " equipment and environmental context data are can be used as input in system, or calculate initial data
Input feature vector of the derivative data as model.The system can be used various ground truths (ground truth) and be modeled,
EEG signal, user investigation including but not limited to from brain.Hereafter, system is using any usually available or specially design
Input data is mapped to ground truth by machine learning algorithm.
In addition, the prediction participation of the user based on user equipment is horizontal, the processing to any received content is executed
Scheduling.The level of user's participation be lower than threshold value in the case where, to received content processing may include will in this way
Received content be stored in including in a user device or the movement be coupled in the buffer of user equipment, wherein user
The level of participation indicates the participation level of user lower than threshold value or in other words the attention of user does not exist or do not fill
Ground is divided to exist.
Alternatively, the level of user's participation be equal to or higher than specific threshold in the case where, to received content place
Reason may include to user render or present institute the received content movement, wherein the level of user's participation be equal to or height
Indicate that the participation of user is horizontal or in other words the attention of user can get or even very high at present in threshold value.It can connect
Time receiving be immediately performed received content presentation, or in the case where the received content of institute is stored in buffer, when
It, can be by the content push from buffer to user when user's participation is changed to above the threshold value.
Alternatively, participation based on prediction is horizontal, the rendering or presentation of adjustable received content, in participation
In the case that level is equal to or higher than specific threshold, content can highlight with biggish font, however, if participation
Level is lower than threshold value, then content can less highlightedly, with lesser font be displayed on the screen.
As another alternative solution, user regularly can be shared with the edge of mobile network (for example, edge cloud) and set
The prediction participation of standby user is horizontal.The prediction participation of user based on user equipment is horizontal, the execution pair at edge cloud
It is sent to the scheduling of any content of user equipment.In the case where the level of user's participation of prediction is lower than threshold value, edge
Cloud is deferred to the content distribution of user equipment, until user's participation is more than threshold value.
Content can include but is not limited to notice from application that is being sent by cloud rear end or locally generating, audio or
Video ads, the message from smart phone, wearable device or IoT near the user.
User is the people of request and reception content.User's participation is engagement of the user to content.When there are user's ginsengs
When with spending, content blocks can obtain and keep the attention and interest of user.It may have many consumers at same time identical
Content.However, watching or otherwise appreciating content is mainly personal experience for each user, it is not necessarily to and other is used
The too many interaction at family, and the participation of content is limited.
In another embodiment of the invention, in the case where the level of user's participation is lower than threshold value, to being connect
The processing for the content received is the received content of storage institute.
In another embodiment of the present invention, in the case where the level of user's participation is equal to or higher than threshold value,
To the processing of the received content be that the received content of institute is presented at the user equipment of the user.
Another alternate embodiment of the invention can be content distribution dispatching device CSM and be located at edge cloud node ECN (example
Such as, home gateway or cell) it is internal, rather than at user equipment.Edge cloud node ECN can regularly be inquired and it
EPM on each UE of connection, and the participation level of user is stored in user's participation database.
It should be noted that the functional device of described system can be distributed on the first communication equipment and/or one or more
On other a network elements, server apparatus described in such as appended claims.
It should be noted that term " includes " used in claim should not be construed as being limited to means listed thereafter.
Therefore, the range of " equipment includes device A and B " this expression is not limited to the equipment being only made of component A and B.This expression,
For the present invention, the only associated component of equipment is A and B.
Similarly, it should be noted that the term " coupling " also used in the claims should not be construed as limited to directly
It connects in succession.Therefore, the range of " equipment A is coupled to equipment B " this expression be not limited to wherein equipment A output it is direct
It is connected to the equipment or system of the input of equipment B.This indicates between the output and the input of B of A there are path, which can be with
It is the path for including other equipment or device.
Detailed description of the invention
By reference to the description below in conjunction with attached drawing to embodiment, above and other purpose of the invention and feature will become
It is more obvious, and present invention itself will be best understood by, in which:
Fig. 1 shows the systems of the participation level of the user for predicting user equipment of embodiment according to the present invention
Function indicates；And
The system that Fig. 2 indicates the participation level of the user for predicting user equipment UD of embodiment according to the present invention
In include the pre- measurement equipment EPD of participation functional structure.
The description and the appended drawings illustrate only the principle of the present invention.Accordingly, it will be recognized that those skilled in the art will set
Count out various arrangements, although these arrangements are not explicitly described or shown herein, embody the principle of the present invention and by
Including in its spirit and scope.In addition, all examples as described herein are directed primarily to be only used for teaching purpose to help reader
Understand the concept that the principle of the present invention and inventor promote the prior art and contribute, and is to be interpreted as not to such
The limitation of the example and condition that specifically describe.In addition, describing all statements of the principle of the present invention, aspect and embodiment herein
And its specific example is intended to cover its equivalent.
It should be recognized by those skilled in the art that any block diagram herein indicates to embody the illustrative of the principle of the present invention
The concept map of circuit.Similarly, it will be recognized that the expressions such as any flow table, flow chart, state transition graph, pseudocode can be basic
On the various processes that indicate and therefore executed by computer or processor in computer-readable medium, no matter such calculate
Whether machine or processor are explicitly shown.
Specific embodiment
In the following paragraphs, with reference to the diagram in Fig. 1, describe embodiment according to the present invention for predicting that user sets
The realization of the system of the participation level of standby user.In another paragraph, all companies between the element being previously mentioned are defined
It connects.Then describe user equipment UD as presented in Fig. 2 and all related function of the pre- measurement equipment EPD of the participation for being included
Energy device, then describes all interconnection.
In subsequent paragraph, the practical execution of system is described.
First primary element of system is the user equipment UD of user, and wherein user equipment is configured as receiving in institute
State the content presented at user equipment UD to the user of user equipment UD.Such user equipment can be such as smart phone shifting
Dynamic communication equipment, such as smartwatch or body-building tracker wearable device.
Such content can be forwarded by content supplier CP, wherein such content supplier can be Email and mention
The social networks or installation application on a user device, the application subscribed to for quotient, user pass through the cloud rear end of application provider
Reception content.
In addition, such system may include edge cloud node ECN, edge cloud node ECN is coupled to user equipment
It network element and is configured as executing certain tasks, rather than executes task at user equipment and (distribution of processing is appointed
Business).
Content supplier CP and edge cloud node ECN can be coupled by that can distribute the communication network CN1 of content, wherein
Such communication network may include xDSL, xPON, WMAN, LAN, 3G link or other are fixed or mobile connection, such as Wi-
Any other of Fi, Bluetooth, GSM, UMTS 4G etc. or previous communications networks suitably combine.
In addition, edge cloud node ECN and user equipment can be coupled by that can distribute the communication network CN1 of content,
In such communication network may include xDSL, xPON, WMAN, LAN, 3G link or other are fixed or mobile connection, such as
Any other of Wi-Fi, Bluetooth, GSM, UMTS 4G etc. or previous communications networks suitably combine.
The first basic device of the user equipment UD of the embodiment of the present invention is the use for predicting the user equipment UD
The pre- measurement equipment EPD of participation of the participation level at family.
The pre- measurement equipment EPD of participation further includes user's context acquisition equipment UCCM, user's context acquisition equipment UCCM
It is configured as capturing at least one context of the user of the user equipment UD.User's context acquisition equipment UCCM is
It is run on user equipment UD and captures the use for single user and the background service of context data.
The pre- measurement equipment EPD of participation further includes environmental context acquisition equipment ECCM, environmental context acquisition equipment ECCM
It is configured as capturing at least one context of the environment of the user of the user equipment UD.
Environmental context acquisition equipment ECCM is also run as backstage finger daemon on a user device, and is recorded from nothing
The data of the derived environment about user of the attribute of gauze network.
In addition, the pre- measurement equipment EPD of participation includes the first user context data library UCDB, the first user context data
Library UCDB is configured as storing the data captured by user's acquisition equipment UCCM.User's context acquisition equipment can capture described
At least one context of the user of user equipment, can include but is not limited to: equipment uses meeting using timestamp, equipment
The duration of words, various applications in equipment using the duration, outflow or incoming call timestamp, received
The timestamp of notice, the notice paid attention to timestamp, (it can be with for the sensing data with timestamp from user equipment
Including optical sensor, proximity sensor, microphone, accelerometer and the body movement of user reading).
In addition, at least one context of the environment of the user of the user equipment can be by environment acquisition equipment
ECM capture, at least one context of the environment of the user of the user equipment can include but is not limited to: the position of user
Set (indoor with outdoor), user accurate or approximate indoor location between floors, number near user etc..The information can be with
It is obtained by the location technology of any prior art, or the database on the cell BTS near inquiry obtains.It is caught
The data obtained can be stored in environmental context database ECDB.
The pre- measurement equipment EPD of participation further includes participation prediction meanss EDM, and participation prediction meanss EDM is configured as leading to
Cross the context of the user for the user apparatus (UD) that processing is captured and the use of the user equipment UD
At least one of described context of the environment at family predicts the level of user's participation.
Participation prediction meanss EDM is configured as executing machine learning model, which uses from DCL and ECL collection
Data therefrom extract correlated characteristic, and calculate the score for being directed to user's participation.The machine learning model can be offline
Training.
Participation prediction meanss EPM is coupled to user's context acquisition equipment UCCM, and is further coupable to ring
Border context acquisition equipment ECCM.Environmental context acquisition equipment ECCM is further coupable to environmental context database
ECDB.User's context acquisition equipment UCCM is coupled to user context data library UCDB.Participation prediction meanss EPM has
Input/output terminal, the input/output terminal are the input/output terminal of the pre- measurement equipment EPD of participation simultaneously.
Alternatively, environmental context database ECDB can be located at outside participation prediction meanss EPM or user equipment, and
At remotely located (for example, home gateway), make it possible under being inquired by participation prediction meanss EPM to obtain environmentally
Literary data.Similarly, user context data library UCDB can be located at outside participation prediction meanss EPM or user equipment, and
And at remotely located (for example, at another user equipment), participation prediction meanss EPM can be inquired to the remote location
To obtain user context data.
User equipment UD may include participation prediction meanss EPM, and also comprise reception device RM, reception device RM
It is configured as receiving the content for example forwarded by content supplier CP.Reception device RM can be additionally configured to buffering and be received
Content.User equipment UD can also include content distribution dispatching device CSM, and content distribution dispatching device CSM is configured as base
In the level for the user's participation predicted by participation prediction meanss EPM to dispatch it is received as described in content
Hold distribution.In addition, user equipment may include presentation device PRM, presentation device PRM is configured as user's wash with watercolours to user equipment
Dye or presentation content.The presentation device can be user equipment display or presentation device can by such as HDMI,
The communication channels such as Bluetooth, WiFi are coupled to the external display for being connected to user equipment.
Reception device RM has input terminal, which is the input terminal I1 of the pre- measurement equipment EPD of participation simultaneously.
Reception device is also coupled to content distribution dispatching device CSM, and content distribution dispatching device CSM is coupled to content presentation in turn
Device PRM and the pre- measurement equipment of participation.
Assuming that any other content supplier of such as Groupon or such as Amazon wishes the Withings intelligence in user
Offer (offer) is sent to him/her on energy wrist-watch.In the absence of the present invention, Groupon will locate to send at any time
Offer, and cannot be guaranteed that user will contact their offer.
In the case where the application present invention, signified Groupon content will be received by reception device RM first, reception device
RM and then by the signal of the arrival of forwarding instruction new content or itself nearest received content is forwarded to content distribution scheduling dress
CSM is set, the available participation that content distribution dispatching device CSM finds user by the pre- measurement equipment EPD of participation is inquired is horizontal.It should
The available participation level of user is to be based on such as being captured by user's context acquisition equipment UCCM and be stored in user's context
Database UCDB and environmental context acquisition equipment ECCM and the user being such as stored in environmental context acquisition equipment ECCM
Context data determines.In the case where current participation level is higher than specific threshold, content will be pushed to immediately use
The presentation device PRM of family equipment UD, allows content to be presented to user immediately.
Otherwise, content distribution will be postponed to point of the user with necessary participation level.Obviously, this mechanism will mention
High user participates in a possibility that content, this is the triumph of content supplier.
Alternatively, the presentation of the received content of institute can be immediately performed when receiving, or a received content stored
In the case where in a buffer, when user's participation is changed to above the threshold value, the content from buffer can be postponed
The presentation device PRM for rushing device towards user equipment is pushed, presentation device PRM be signified user Withings smartwatch or
It is the smart phone of user.
Alternatively, participation based on prediction is horizontal, the rendering or presentation of adjustable received content, in participation
In the case that level is equal to or higher than specific threshold, content can highlight with biggish font, however, if participation
Level is lower than threshold value, then content can less highlightedly, with lesser font be displayed on the screen.
As another alternative solution, user regularly can be shared with the edge of mobile network (for example, edge cloud) and set
The prediction participation of standby user is horizontal.The prediction participation of user based on user equipment is horizontal, executed at edge cloud to
The scheduling for any content that user equipment is sent.In the case where predicting that the level of user's participation is lower than threshold value, edge cloud prolongs
The content distribution of late user equipment, until user's participation is more than threshold value.
In addition, if assuming to use by the participation prediction meanss EPM of machine learning model trained in advance has diameter
To the algorithm of support vector machine of core (SVM-R), and have determined following user's context feature (that is,
TimeSinceLastCall, timeSinceLastNotification, battery levels, the time in one day) and following environment
Contextual feature (that is, number near position, the user) is most important for the participation level for predicting user.This table
Show, by the way that characteristics mentioned above is input to housebroken SVM-R model, it can be non-by applying to the feature inputted
Linear transformation returns to the value for participation level.For example, output participation level can be { high/low }, it is very high/high/
It is medium/low/very low } etc., this depends on the used threshold value in model training.
If predicting participation of the user on the smartwatch as user equipment, user using such model
Context acquisition equipment UCCM first when to be predicted given time capture user's context feature (for example,
TimeSinceLastCall=30 minutes, timeSinceLastNotification=20 minutes, battery levels=80%, one
Time=12:15 in it).Similarly, environmental context acquisition equipment ECCM is collected when to be predicted in given time
Required environmental context feature (for example, position=interior, number=5) near the user.This two groups of transient datas
Parameter (user and environmental context) is then passed to participation prediction meanss EPM, and participation prediction meanss EPM executes above-mentioned
To generate the value of user's participation, { high/low }, { very high/high/medium/low/very low } etc., this depends on SVM-R model
In the threshold value defined in a model.
Or, if it is assumed that trained machine learning model uses linear regression (LR) algorithm in advance, and has determined
Following user's context feature (that is, lastHourApplicationUsageDuration,
LastHourApplicationCount, battery levels) and following environmental context feature (that is, indoor location, the user are attached
Close number) it is most important for the participation level for predicting user.This is indicated, by the way that characteristics mentioned above to be input to
Housebroken LR model, it can be by returning to the value for participation level to the feature application linear transformation inputted.
For example, output participation level can be the number between 0 to 100, this depends on model parameter.
If predicting participation of the user on the smartwatch as user equipment, user using such model
Context acquisition equipment UCCM captures user's context feature (for example, lastHo in given time when to be predicted first
UrApplicationUsageDuration=5 minutes, lastHourApplicationCount=10, battery levels=
100%).Similarly, environment required for environmental context acquisition equipment ECCM is collected when to be predicted in given time
Contextual feature (for example, indoor location={ x, y }, number=1) near the user.
This two groups of transient data parameter (user and environmental context) is then passed to participation prediction meanss EPM, ginseng
Above-mentioned LR model is executed with degree prediction meanss EPM to generate the value for user's participation between 0-100.It is then possible to
The value and threshold value (t) are compared to determine that it corresponds to high participation or low participation by EPM.
It should be noted, however, that participation prediction meanss EPM is not limited to the specific machine learning model of only one, but can
By the user's context for using user's context acquisition equipment UCCM to be captured and/or environmental context acquisition equipment (ECCM)
Any kind of machine learning model trained in advance of the environmental context captured is realized.
As will be described below, the present invention using the prior wireless network around user knowledge, and by its with it is various
Sensor combinations are horizontal with the participation for predicting user in equipment.Then, the knowledge of participation level by cellular network or is set
It is standby utilize at reasonable time by content push to user.
When new content reaches the reception device RM of user equipment UD, the pre- measurement equipment EPD of participation will be inquired, then,
The pre- measurement equipment EPD of participation will search the current participation of user.If current participation is higher than the participation of expected content,
Then recommended user's equipment is started app by content distribution dispatching device CSM, or highlightedly shows app on the main screen of user
Icon and message quickly to start, for example, starting " Groupon " app.
Another alternate embodiment of the invention can be, and content distribution dispatching device CSM is located at edge cloud node ECN (example
Such as, home gateway or cell) it is internal, rather than at user equipment.Edge cloud node ECN can regularly be inquired and it
The EPM of each UE of connection, and the participation level of user is stored in user's participation database.In the embodiment
In, content is not routed directly to user equipment UD from content supplier CP, the network of operator sends it to side
Edge cloud, the then Scheduling content distribution at the time that target user has available participation of edge cloud.The specific embodiment has
Better than the attendant advantages of first embodiment, because being used when content is first by edge cloud node rather than when being received by user equipment
Wireless radio on the equipment UD of family does not need to wake up for each content reception.To the wireless radio on user equipment UD
Repetition wake-up be the principal element for leading to battery loss.Application through the invention is served as content supplier CP and is set with user
The edge cloud of tertium quid between standby UD can send multiple contents to UE together in bulk, so that the battery life of UE is provided
Gain.
In current operating system, when sending a notification message to user, it usually has to its additional priority.
For the embodiment, it is assumed that incoming message also has the field of referred to as " it is expected that participation " (EE), which indicates the content
It is expected that participation from the user how many.For example, video content may need high participation from the user --- and it is simple
Text message may need less participation.
It is finally noted that the embodiment of the present invention is described in terms of functional block above.From it is given above these
In the function description of block, those skilled in the art for designing electronic equipment be will be clear that, the embodiments of these blocks can be with
It is manufactured with well known electronic component.Therefore the detailed architecture of the content of functional block is not provided.
Although having been combined specific device above describes the principle of the present invention, it is to be clearly understood that the description
It is made only by exemplary mode, not as the limitation to the scope of the present invention as defined in the appended claims.
Claims (8)
1. the method for the participation level of user of the one kind for predicting user equipment (UD), the user equipment (UD), which receives, to be used
In the content presented at the user equipment (UD), the method comprise the steps that
Capture at least one context of the user of the user equipment (UD)；And
Capture at least one context of the environment of the user of the user equipment (UD)；And
By the context and the user equipment (UD) that handle the user of the user equipment (UD) captured
At least one of the context of the environment of the user predict the level of user's participation；And
Dispatched based on the level of user's participation to the received content processing.
2. the method according to claim 1 for predicting the participation level, wherein in user's participation
Level lower than in the case where threshold value, the processing to the received content of institute be storage the received content.
3. the method according to claim 1 for predicting the participation level, wherein in user's participation
In the case that level is equal to or higher than threshold value, the processing the received content be the user equipment in the user
(UD) the received content of institute is presented at.
4. the pre- measurement equipment of participation (EPD) of the participation level of user of the one kind for predicting the user equipment (UD), institute
Content of user equipment (UD) reception for presenting at the user equipment (UD) is stated, wherein the pre- measurement equipment of the participation
(EPD) further include:
User's context acquisition equipment (UCCM) is configured as capturing at least the one of the user of the user equipment (UD)
A context；And
Environmental context acquisition equipment (ECCM) is configured as capturing the environment of the user of the user equipment (UD)
At least one context；And
Participation prediction meanss (EPM) are configured as the user's of the user equipment (UD) captured by processing
At least one of described context of the environment of the user of the context and the user equipment (UD) comes pre-
Survey the level of user's participation.
5. the system of the participation level of user of the one kind for predicting user equipment (UD), the user equipment (UD), which receives, to be used
In the content presented at the user equipment (UD), wherein the system comprises:
The pre- measurement equipment of participation (EPD) according to claim 4；And
Content distribution dispatching device (CSM) is configured as being dispatched based on the level of user's participation to received institute, institute
State the processing of content.
6. a kind of user equipment (UD), for predicting that the participation of user of the user equipment (UD) is horizontal, the user is set
Standby (UD) receives the content for presenting at the user equipment (UD), wherein the user equipment (UD) further include:
The pre- measurement equipment of participation (EPD) according to claim 4；And.
7. user equipment according to claim 6, wherein the user equipment (UD) further include:
Content distribution dispatching device (CSM) is configured as being dispatched based on the level of user's participation to received institute, institute
State the processing of content.
8. a kind of edge cloud node (ECN) used in system according to claim 5, the edge cloud node
(ECN) it is coupled to the user equipment (UD), wherein the edge cloud node (ECN) includes:
Content distribution dispatching device (CSM) is configured as received described to dispatch based on the level of user's participation
The content distribution of content.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP16306067.6 | 2016-08-18 | ||
| EP16306067.6A EP3285217A1 (en) | 2016-08-18 | 2016-08-18 | A method for predicting the engagement level of a user of a user device, a related engagement prediction device and user device |
| PCT/EP2017/070289 WO2018033463A1 (en) | 2016-08-18 | 2017-08-10 | A method for predicting the engagement level of a user of a user device, a related engagement prediction device and user device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109791654A true CN109791654A (en) | 2019-05-21 |
Family
ID=56855393
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201780059829.0A Pending CN109791654A (en) | 2016-08-18 | 2017-08-10 | For predicting method, the pre- measurement equipment of relevant participation and the user equipment of the participation level of the user of user equipment |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20190215373A1 (en) |
| EP (1) | EP3285217A1 (en) |
| CN (1) | CN109791654A (en) |
| WO (1) | WO2018033463A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108521416B (en) * | 2018-03-30 | 2021-02-02 | 上海仁童电子科技有限公司 | ECN integrated circuit board |
| US11496592B2 (en) | 2018-06-03 | 2022-11-08 | Apple Inc. | Generating application configurations based on user engagement segments |
| US11232171B2 (en) | 2018-06-03 | 2022-01-25 | Apple Inc. | Configuring applications using multilevel configuration |
| US10681162B2 (en) * | 2018-06-03 | 2020-06-09 | Apple Inc. | Segmenting users based on user engagement |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102422317A (en) * | 2009-06-30 | 2012-04-18 | 维里逊专利及许可公司 | Methods and systems for controlling presentation of media content based on user interaction |
| CN103177380A (en) * | 2013-02-26 | 2013-06-26 | 北京集奥聚合科技有限公司 | Method and device for optimizing advertisement delivery effect by combining user groups and pre-delivery |
| US20140150002A1 (en) * | 2012-11-29 | 2014-05-29 | Qualcomm Incorporated | Methods and apparatus for using user engagement to provide content presentation |
| US20140215086A1 (en) * | 2013-01-29 | 2014-07-31 | Apple Inc. | Determining an invitational content item type based on predicted user attention |
| CN104217352A (en) * | 2014-08-20 | 2014-12-17 | 苏州海云网络科技有限公司 | Accurate push system for mobile advertisements |
-
2016
- 2016-08-18 EP EP16306067.6A patent/EP3285217A1/en not_active Withdrawn
-
2017
- 2017-08-10 CN CN201780059829.0A patent/CN109791654A/en active Pending
- 2017-08-10 US US16/325,883 patent/US20190215373A1/en not_active Abandoned
- 2017-08-10 WO PCT/EP2017/070289 patent/WO2018033463A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102422317A (en) * | 2009-06-30 | 2012-04-18 | 维里逊专利及许可公司 | Methods and systems for controlling presentation of media content based on user interaction |
| US20140150002A1 (en) * | 2012-11-29 | 2014-05-29 | Qualcomm Incorporated | Methods and apparatus for using user engagement to provide content presentation |
| US20140215086A1 (en) * | 2013-01-29 | 2014-07-31 | Apple Inc. | Determining an invitational content item type based on predicted user attention |
| CN103177380A (en) * | 2013-02-26 | 2013-06-26 | 北京集奥聚合科技有限公司 | Method and device for optimizing advertisement delivery effect by combining user groups and pre-delivery |
| CN104217352A (en) * | 2014-08-20 | 2014-12-17 | 苏州海云网络科技有限公司 | Accurate push system for mobile advertisements |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2018033463A1 (en) | 2018-02-22 |
| US20190215373A1 (en) | 2019-07-11 |
| EP3285217A1 (en) | 2018-02-21 |
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